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Record W1504992190

The evaluation of noise level in hand-held pneumatic tools (rock drill) by "pneurop cagi test code" method

2008· article· en· W1504992190 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCanadian acoustics · 2008
Typearticle
Languageen
FieldEngineering
TopicGeotechnical and Geomechanical Engineering
Canadian institutionsnot available
Fundersnot available
KeywordsDrillSound level meterAcousticsSound pressureNoise (video)Octave (electronics)MetreSound powerEngineeringVibrationNoise levelGeologySound (geography)Computer scienceMechanical engineeringPhysics
DOInot available

Abstract

fetched live from OpenAlex

The noise and vibration created in hand-held pneumatic tools such as Rock drills, used in Lashotor stone mines in Isfahan, is evaluated by PNEUROP CAGI TEST CODE method. Rock Drill produces a continuous noise based on ISO standard and so the total dose of duration and level of the various noises are calculated. The measurements are performed with the center of the machine, 1 meter above a reflecting floor, while the noise assessment is done on the spherical area. Sound power level is calculated by using a sound pressure level so that the drill is located in the center of a hypothetical sphere. The results show that the overall sound pressure level based on ANSI S5.1-1971 is equal to 93.63 dB. It is also seen that a gradual increase in sound pressure generated by rock drill from frequency of 31.5 Hz to 4000 Hz with a fall in 1000 Hz frequency is due to sound level meter in a frequency analysis of 1/1band octave.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.827
Threshold uncertainty score0.561

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.049
GPT teacher head0.247
Teacher spread0.198 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it